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Talk Abstract
Parallel Algorithms for the Satisfiability (SAT) Problem

Jun Gu, University of Florida

The satisfiability (SAT) problem is a central problem in mathematical logic, computing theory, and artificial intelligence. In practice, the SAT problem is fundamental in solving many practical application problems. Methods to solve the SAT problem play an important role in the development of computing theory and intelligent computing systems. There has been great interest in the design of efficient algorithms to solve the SAT problem. Since the past decade, a variety of parallel processing techniques have been developed to solve the SAT problem. The goal of this talk is to expose the rapidly growing field, to discuss tradeoff and limitations, and to describe state-of-the-art techniques, both algorithms and special-purpose architectures, for parallel processing of the satisfiability problem.

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1996-1997 Mathematics in High Performance Computing

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